Data Scientist, Informatics

Job description

At Abbott, we're committed to helping people live their best possible life through the power of health. For more than 125 years, we've brought new products and technologies to the world -- in nutrition, diagnostics, medical devices and branded generic pharmaceuticals -- that create more possibilities for more people at all stages of life. Today, 99,000 of us are working to help people live not just longer, but better, in the more than 150 countries we serve.

JOB DESCRIPTION:

Performs quantitative analysis and data management for analytics studies utilizing technologies to collect, clean, analyze, predict, and effectively communicate information.

Core Job Responsibilities:

Particularly skilled in quantitative analysis and data management

Utilize technologies to collect, clean, analyze, predict, and effectively communicate information.

Able to examine relevant data and quickly develop an analysis plan that will answer key business questions and create value for the client.

Understanding of machine learning algorithms and advanced statistics such as: regression, time-series forecasting, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis, modeling, optimization, unstructured data analysis, and neural networks.

Works with stakeholders to define business questions, requirements, timelines, objectives, and success criteria to address need.

Analyze data, draw insights, and present results in a cohesive, intuitive, and simplistic manner to the client.

Work closely with the business to understand the domain and iteratively refine analyses.

Supervisory / Management Responsibility:

Able to train and develop junior data scientists and provide technical/analytical guidance when needed

Moves own work forward with limited direction through use of frameworks and structure

Helps to scope studies – timeline, expected outcomes, resources, etc.

Proactive thinking and ideation to facilitate ongoing, open dialogue where information and ideas are shared to generate solutions.

Position Accountability/ Scope:

Proactively contributes to multiple projects to support the solution design process and delivers the analytical models and algorithms to achieve business value.

Relevant skills include applied mathematics, statistics, calculus, quantitative or statistical methods or techniques, data mining, informatics, machine learning, data science, programming, computational algorithms, information retrieval (i.e. organizing, structuring data), working with databases or data structures, artificial intelligence, natural language processing, Bayesian inference, Markov logic, software engineering and/or systems design analysis.

Qualifications:

2-4 years' work related experience with degree or sufficient transferable experience to demonstrate functional equivalence to a degree. Minimum of 4 years of experience.

Bachelor's degree in Computer Science, Data Analytics or similar discipline including Mathematics, Statistics, Physics, or Engineering is preferred.

Prior experience/education in life sciences or healthcare preferred.

Intermediate programming experience (eg. Python, R, Java, Scala, C++ in Linux/Unix and/or equivalent). Working experience with database applications

Experience with and understanding operational or strategic systems and/or building tools.

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